TECHNOLOGY PARTNER
Databricks
Valtech and Databricks
When it comes to data platforms, one is better than two.
On one hand, data warehouses provide solid governance, high reliability and performance. On the other, data lakes offer openness, adaptability and machine learning support.
Many organizations use both, plus other specialized systems. But due to the incompatibility of these architectures, and with the trend towards multi-cloud environments, extracting value from data has significant challenges:
-
Siloed stacks increase complexity
-
Disconnected systems and proprietary data formats make integration difficult
-
Governance for data and AI is complex
-
Productivity suffers due to disparate data teams
Learn how we can help you harness the power of Databricks
We're Databricks experts
Since 2018, our Databricks-trained data scientists and data engineers have been working with enterprises to unify their data onto a single platform, the Databricks Lakehouse Platform, so they can realize the best of both worlds.
As a Databricks partner, we've built solutions ranging from traditional reporting pipelines to bespoke machine learning optimization applications that tightly integrate with our clients' marketing and supply-chain operations.
No matter how you plan to leverage your enterprise data, our consultants bring the expertise to make it happen on the Databricks Lakehouse Platform.
The Databricks advantage
The Databricks Lakehouse Platform is a simple, open, multi-cloud solution that:
-
Unifies governance, security and management for all data and AI assets across all clouds.
-
Reduces total cost of ownership of data platforms.
-
Eliminates data silos and complexity.
-
Maximizes flexibility with a platform built on open source and open standards.
-
Improves operational efficiency and the speed of innovation.
Our work with Databricks
Valtech works with a wide range of clients to enable Databricks adoption.
Databricks for CPG
-
Real-time hyper-personalization
-
Omnichannel profitability
-
Demand forecasting
Databricks for manufacturing
-
Digital twins
-
Smart manufacturing
-
Supply chain optimization
Databricks for CME
-
Personalization/lifecycle
-
Quality of service/network analytics
-
Advertising attribution
Additional AI and ML applications
-
LLMs and generative AI
-
Geospatial data products
